R Observatory: Metrics for geocausal version 0.4.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

geocausal

0.4.2Package record

Causal Inference with Spatio-Temporal Data

0packages depend

4.2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Mitsuru MukaigawaraCRAN page ↗GitHub ↗

Spatio-temporal causal inference based on point process data. You provide the raw data of locations and timings of treatment and outcome events, specify counterfactual scenarios, and the package estimates causal effects over specified spatial and temporal windows. See Papadogeorgou, et al. (2022) doi:10.1111/rssb.12548 and Mukaigawara, et al. (2024) doi:10.31219/osf.io/5kc6f.

Changes in 0.4.2

Improved the computational efficiency of smooth_ppp() (parallel computation via future, a new ngroups option) and modified the duplicated-points warning settings
Overhauled the documentation: details, examples, references, and cross-references throughout, plus a package-level help page

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("geocausal", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mmukaigawara/geocausal")

Development version from mmukaigawara/geocausal. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-geocausal

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-geocausal

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-geocausal

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.2

READMEYes · 351 wordsVignettesNoNEWSYes · 100% structured · mentions 0.4.2Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 56 (1 internal)includes a package overview page
Examples that run: 50%9 run in a plain check · 9 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 43%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 34%

How these are measured

Downloads

4.2K

CRAN downloads in the past year

Rank #7,168 · ~12/day · ~353/mo

Releases R versions

Daily download trend is not available in this view yet.

45430 days

1.2K90 days

4.2K1 year

Compare downloads with other packages →

Also on97 r2u5 autocran

How downloads are counted

Repository

mmukaigawara/geocausal ↗Account: mmukaigawara

71Stars

6Forks

0Open issues

1Open PRs

0Releases

754Commits

3Commit identities

754 commits · Last activity 2026-10-05 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 35
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-08-12 · 502026-09-16 · 71

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/mmukaigawara/geocausal on 2026-10-21.

Docs source (1)

README.Rmd

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Installing geocausal adds 151 packages (84 with compiled code, 145 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)

R >= 3.5.0

Imports (22)

crsuggest ggthemes data.table dplyr furrr ggplot2 ggpubr mclust progressr purrr Rglpk sf spatstat.explore spatstat.geom spatstat.model spatstat.univar spatstat.random terra tibble tidyr tidyselect tidyterra

LinkingTo (0)

none

Suggests (5)

elevatr gridExtra knitr readr gridGraphics

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (5)

Mitsuru Mukaigawara

Maintainer since 0.1.0 (2023), Author

Kosuke Imai

Author

Jason Lyall

Author

Georgia Papadogeorgou

Author

Lingxiao Zhou

Author · added in 0.3.1

Releases (10)

Pick two releases to compare their code metrics.

0.4.2Latest
record
2026-06-26 · current release · diff ↗
0.4.1
record
2026-05-25 · diff ↗ ·
added 2 exports
get_cate_sens, get_sens
R
R 4.6.0 released · 2026-04-24
0.4.0
record
2026-02-18 · diff ↗ ·
removed 1 export
predict_obs_dens

added 4 exports
dx_outpred, dx_supthin, get_adaptive_baseline_dens, get_cf_dens_adaptive
R
R 4.5.0 released · 2025-04-11
0.3.4
record
2025-01-07 · diff ↗ ·
removed 16 exports
plot.cate, plot.cflist, plot.distlist, plot.est, plot.hyperframe, plot.im, plot.imlist, plot.obs, plot.powerlist, plot.ppplist, plot.weights, print.cate, print.est, summary.cate, summary.est, summary.obs
0.3.3
record
2024-12-04 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+

added 32 exports
conv_owin_into_sf, get_base_dens, get_cate, get_cf_dens, get_cf_sum_log_intens, get_dist_focus, get_dist_line, get_distexp, get_elev, get_em_vec, get_est, get_estimates, get_hfr, get_hist, get_obs_dens, get_power_dens, get_var_bound, get_weighted_surf, get_window, imls_to_arr, pixel_count_ppp, plot.cflist, plot.distlist, plot.imlist, plot.powerlist, plot.ppplist, print.cate, print.est, predict_obs_dens, sim_cf_dens and 2 more
0.3.2
record
2024-07-19 · diff ↗
0.3.1
record
2024-07-07 · diff ↗ ·
added 3 exports
summary.cate, plot.cate, plot.weights
R
R 4.4.0 released · 2024-04-24
0.3.0
record
2024-03-25 · diff ↗ ·
added 6 exports
summary.est, summary.obs, plot.est, plot.obs, plot.im, plot.hyperframe
0.2.0
record
2023-09-21 · diff ↗
0.1.0
record
2023-08-21
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-08-21
Total releases: 10 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 752 KB / 5 files
Download size: 845 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("geocausal")

Format

Mukaigawara, M., Imai, K., Lyall, J., Papadogeorgou, G., & Zhou, L. (2026). geocausal: Causal Inference with Spatio-Temporal Data (Version 0.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.geocausal

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for geocausal version 0.4.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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